eNeurologicalSci

Top Research Topics at eNeurologicalSci?

The journal primarily focuses on research topics in Internal medicine, Pediatrics, Stroke, Pathology and Disease. ENeurologicalSci holds forums on Internal medicine that merges themes from other disciplines such as Gastroenterology, Oncology and Cardiology. The journal is focused mainly on Cardiology, particularly Infarction.

The studies in Pediatrics featured incorporate elements of Multiple sclerosis, Neurology and Epilepsy. It facilitates discussions on Stroke that incorporate concepts from other fields like Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Intensive care medicine. More specifically, the research on Disease in eNeurologicalSci is related to Parkinson's disease.

• Internal medicine (21.05%)
• Pediatrics (17.45%)
• Stroke (13.85%)

What are the most cited papers published in the journal?

• Building neurosurgical capacity in low and middle income countries (55 citations)
• Prevention, management, and rehabilitation of stroke in low- and middle-income countries (42 citations)
• Differential expression of miRNA 155 and miRNA 146a in Parkinson's disease patients (40 citations)

Research areas of the most cited articles at eNeurologicalSci:

The most cited articles primarily tackle Stroke, Internal medicine, Pediatrics, Gastroenterology and Alternative medicine. The most cited papers address concerns in Stroke which are intertwined with other disciplines, such as Psychological intervention, Epidemiology and Gerontology. The published papers connects the study in Internal medicine with the closely related areas of 2019-20 coronavirus outbreak.

What topics the last edition of the journal is best known for?

• Internal medicine
• Disease
• Surgery

The previous edition focused in particular on these issues:

Coronavirus disease 2019 (COVID-19), Internal medicine, Pediatrics, Stroke and Pathology are the subjects of interest in eNeurologicalSci. Aside from investigating topics in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) under Coronavirus disease 2019 (COVID-19), it also explores concepts in In patient. The research on Internal medicine featured in it combines topics in other fields like Gastroenterology, Oncology and Cardiology.

The presented research on Oncology deals specifically with Disease but it also addresses topics in Neurology. The research on Pediatrics tackled can also make contributions to studies in the areas of Presentation (obstetrics), Epidemiology, Cohort and Epilepsy. It focuses on Stroke but the discussions also offer insight into other areas such as Diabetes mellitus, Occlusion, Complication and Infarction.

The most cited articles from the last journal are:

• A first presentation of multiple sclerosis with concurrent COVID-19 infection (8 citations)
• Neurological manifestations of patients with mild-to-moderate COVID-19 attending a public hospital in Lima, Peru (4 citations)
• Posterior reversible encephalopathy syndrome and COVID-19: A series of 6 cases from Lombardy, Italy (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in eNeurologicalSci (based on the number of publications) are:

• Bruce Ovbiagele (10 papers) absent at the last edition,
• Josef Finsterer (7 papers) absent at the last edition,
• Cheick O Guinto (6 papers) published 1 paper at the last edition,
• Mayowa O. Owolabi (6 papers) absent at the last edition,
• Yoshio Tsuboi (6 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in eNeurologicalSci (based on the number of publications) are:

• Medical University of South Carolina (12 papers) absent at the last edition,
• Tohoku University (7 papers) published 1 paper at the last edition the same number as at the previous edition,
• Fukuoka University (6 papers) published 1 paper at the last edition the same number as at the previous edition,
• University of São Paulo (6 papers) absent at the last edition,
• National Institutes of Health (6 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 13.16% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.61% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.64% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.70% of all publications and 56.06% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Collaborations and Affiliations in eNeurologicalSci

Among the cadre of researchers who publish work in eNeurologicalSci, a significant number are affiliated with renowned universities and top-ranking medical institutes. These affiliations add a considerable amount of prestige and credibility to the journal's published works. A thorough analysis of these affiliations offers insightful data regarding collaborations, institution prominence, and the geographical diversity of contributing researchers. Looking at the affiliations, a substantial number of authors are associated with institutions recognized for their high standard in medical and scientific research. These often include highly esteemed universities and research facilities that are considered some of the best nursing schools in Michigan and other states. Apart from single institutional affiliations, substantial collaborations also occur between authors of different universities, leading to enriching multidisciplinary studies presented in the journal. Joint authorship between researchers from various distinct institutions strengthens the heterogeneity of research perspectives, ultimately contributing to the overall quality and depth of the published studies. In conclusion, the diversity and caliber of author affiliations in eNeurologicalSci significantly enhance the quality and breadth of the published works. Continued collaboration and engagement with top-ranking institutions maintain the journal's standing as a leading platform in neurology research dissemination.